Triple
T3869299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ohře |
E91943
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Cheb |
E207504
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cheb | Statement: [Ohře, flowsThrough, Cheb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cheb Context triple: [Ohře, flowsThrough, Cheb]
-
A.
Cheb
chosen
Cheb is a historic town in the Czech Republic known for its well-preserved medieval architecture and strategic location near the German border.
-
B.
Chaka
"Chaka" is the 1978 debut solo album by American singer Chaka Khan, showcasing her blend of funk, soul, and R&B.
-
C.
Chale
Chale is a small coastal village on the southern side of the Isle of Wight in England, known for its rural character and proximity to dramatic sea cliffs.
-
D.
Chir
The Chir is a river in southwestern Russia that flows through the Rostov Oblast and ultimately joins the Don River, playing a role in the region’s hydrology and history.
-
E.
Gruchy
Gruchy is a small hamlet in the Normandy region of France, best known as the birthplace of the painter Jean-François Millet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec533828819080f52dae15fdbecd |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512440b8c8190ae2048bfcdd565ec |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.